Stand up for Ethical AI! How to Detect and Mitigate AI Bias Using Kubeflow

Explore ethical AI practices and learn how to detect and mitigate AI bias using Kubeflow in this 30-minute conference talk from KubeCon + CloudNativeCon North America 2021. Delve into the critical importance of fairness, accountability, and transparency in machine learning systems, particularly in high-stakes domains like criminal justice, credit scoring, and hiring. Discover how bias can be introduced not only through training data but also through inappropriate data handling, model selection, and algorithm design. Gain insights on building an open, transparent, secure, and fair pipeline that integrates seamlessly into the AI lifecycle using Kubeflow Pipelines. Learn the proper methods for deploying machine learning models in production and collecting payloads to enable inbuilt bias checkers with KFServing. Join IBM experts Andrew Butler and Animesh Singh as they guide you through the process of creating more ethical and unbiased AI systems.